Applications to the Gatsby Unit PhD programme close soon.
See www.ucl.ac.uk/gatsby/study-and-work/phd-programme
The Gatsby Unit is a leading research centre focused on theoretical
neuroscience and machine learning. We study (un)supervised and
reinforcement learning in brains and machines; inference, coding and neural
dynamics; Bayesian and kernel methods, and deep learning; with applications
to the analysis of perceptual processing and cognition, neural data, signal
and image processing, machine vision, network data and nonparametric
hypothesis testing. The unit provides a unique opportunity for a critical
mass of theoreticians to interact closely with one another, with the
Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), the
Centre for Computational Statistics and Machine Learning (CSML), other
research groups in related UCL departments, and the nearby Alan Turing and
Francis Crick Institutes.
Students complete a 4-year PhD in either machine learning or theoretical
neuroscience, with minor emphasis in the complementary field. Courses in
the first year provide a comprehensive introduction to both fields and
systems neuroscience. Students are encouraged to work and interact closely
with researchers at the SWC and/or CSML to take advantage of this uniquely
multidisciplinary research environment.
Applicants should have a strong analytical and quantitative background, a
keen interest in neuroscience, machine learning or both, and a relevant
first degree, for example in Mathematics, Statistics, Computer Science,
Engineering, Physics, Neuroscience or Cognitive Psychology.
Full funding is available regardless of nationality. The unit also welcomes
applicants who have secured or are seeking funding from other sources.
Applications should be submitted directly via our online portal.